Show HN: Was frustrated w ChatGPTs health advice so I built better biomed search
I've been frustrated with the quality of medical and health responses from general-purpose LLMs like ChatGPT and Gemini. They often provide generic, non-committal advice and don't seem to effectively search or cite the actual medical literature with fast responses.
So, I decided to build my own solution: OpenHealth.
https://www.my-openhealth.com/
It's an AI-powered platform designed specifically for high-quality health information. Under the hood, it uses a combination of Retrieval-Augmented Generation (RAG) over 38 million medical abstracts (from PubMed and other journals), paper quality ranking, fine-tuned models, and specialized prompting to generate responses that are grounded in scientific evidence. Importantly the prompts, analyses, and reports are crafted by a team of doctors and scientists to provide high quality health information that is vetted.
The goal is to provide users with direct access to insights from the literature, calculate personal health risks based on studies, and even analyze supplement ingredients/stacks etc.
The ultimate vision is to build "health superintelligence" — models that are state-of-the-art on medical, wellness, and longevity benchmarks.
I'm launching it today and would love to get this community's feedback on the approach, the quality of the responses, the UI/UX, and any other thoughts you have.
Thanks for checking it out!
Have you compared your system to https://pubmed.ai on some of your sample questions? That would give you a benchmark and perhaps give you some ideas for your application?
Is this app targeted towards clinicians or patients, or both? If both, I would suggest adding an option for whether you wanted an answer targeted towards the clinician or patient to account for differences in understanding of medical jargon, etc.?